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Voltar para Build Better Generative Adversarial Networks (GANs)

Comentários e feedback de alunos de Build Better Generative Adversarial Networks (GANs) da instituição deeplearning.ai

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Sobre o curso

In this course, you will: - Assess the challenges of evaluating GANs and compare different generative models - Use the Fréchet Inception Distance (FID) method to evaluate the fidelity and diversity of GANs - Identify sources of bias and the ways to detect it in GANs - Learn and implement the techniques associated with the state-of-the-art StyleGANs The DeepLearning.AI Generative Adversarial Networks (GANs) Specialization provides an exciting introduction to image generation with GANs, charting a path from foundational concepts to advanced techniques through an easy-to-understand approach. It also covers social implications, including bias in ML and the ways to detect it, privacy preservation, and more. Build a comprehensive knowledge base and gain hands-on experience in GANs. Train your own model using PyTorch, use it to create images, and evaluate a variety of advanced GANs. This Specialization provides an accessible pathway for all levels of learners looking to break into the GANs space or apply GANs to their own projects, even without prior familiarity with advanced math and machine learning research....

Melhores avaliações

GJ

30 de set de 2020

Very good course! Helpful to understand evaluation metrics and details of Style GAN. It was also super cool to have the bias section that is not as well known as the others. Loved it!

AB

24 de mar de 2021

Great material...but the stylegan code implementation requires more video material. Instead adding one more week for ProGan part before stylegan would be helpful for the learners.

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1 — 25 de 82 Avaliações para o Build Better Generative Adversarial Networks (GANs)

por Dan I

6 de out de 2020

por Behnaz B

31 de dez de 2020

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24 de nov de 2020

por Akit M

15 de nov de 2020

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21 de out de 2020

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29 de dez de 2020

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17 de out de 2020

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27 de jan de 2021

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4 de mar de 2021

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21 de nov de 2020

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14 de dez de 2020

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8 de nov de 2020

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13 de jan de 2021

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22 de jan de 2021

por Matthew B E R

5 de out de 2020

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28 de jan de 2021

por Jaekoo K

19 de fev de 2021

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24 de dez de 2021

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30 de nov de 2021

por Pavel K

26 de jan de 2021

por Abishek B

25 de mar de 2021

por Muyanja S Z

13 de mar de 2022

por Shams A

19 de jul de 2021